Human Data Strategist - Drive AI Data Pipelines + Equity

Reflection; San Francisco (CA); Sur place; USD 140 000 - 190 000; Plein temps

Avantages offerts par ce poste

Top-tier compensation

Stock options

Health & wellness

Meals

Life & family

Vacation days

Sponsorship support

Team building

Résumé du poste

Reflection is seeking a Human Data Strategist to own the data acquisition pipelines that turn human expertise into better AI models, partnering closely with researchers to source high‑quality data from vendors. This role blends program ownership with hands‑on work on task design, contributor workflows, data quality frameworks, and success metrics, requiring organizational rigor and sound judgment.

You will collaborate across teams to ensure data acquisitions measurably improve model capabilities

Qualifications

• 4+ years of experience delivering a portfolio of complex programs and prioritizing across changing research needs.
• An understanding of LLM training, evaluation, and prompt design, with the ability to learn unfamiliar research concepts quickly.
• Proficiency in SQL for querying datasets and building dashboards, and Python for data analysis, API integrations, and workflow automation.
• Clear written communication, strong stakeholder judgment, and a willingness to inspect individual tasks and datasets when the headline numbers do not tell the full story.
• High agency, bias towards action, and the ability to drive impact in fast‑paced, dynamic, and ambiguous environments.

Responsabilités

• Collaborate with research: Translate critical model capabilities, and researchers’ plans for developing them, into executable data acquisition strategies.
• Orchestrate providers: Assess vendors’ capabilities, forecast capacity, define task instructions, acceptance criteria and then hold vendors accountable for quality, delivery, and cost.
• Track and optimize campaigns: Build dashboards tracking throughput, turnaround time, acceptance rates, rework, and cost per accepted task. Leverage data analytics to investigate bottlenecks and guide improvements.
• Ensure alignment: Experiments and priorities evolve. You will surface vulnerabilities early and turn feedback into concrete changes to subsequent sourcing. Work with research to close the loop; tracking how our data acquisitions improve model capabilities

Connaissances

LLM training understanding

SQL proficiency

Python proficiency

Program management

Stakeholder communication

Outils

API integrations

Workflow automation

Description du poste

Reflection is seeking a Human Data Strategist to own the data acquisition pipelines that turn human expertise into better AI models, partnering closely with researchers to source high‑quality data from vendors. This role blends program ownership with hands‑on work on task design, contributor workflows, data quality frameworks, and success metrics, requiring organizational rigor and sound judgment.

You will collaborate across teams to ensure data acquisitions measurably improve model capabilities